A popular approach to significance testing proposes to decide whether the given hypothesized statistical model is likely to be true (or false). Statistical decision theory provides a basis for this approach by requiring every significance test to make a decision about the truth of the hypothesis/model under consideration. Unfortunately, many interesting and useful models are obviously false (th...

Abstract: One of basic principle of any organization is to assure about obtained figures from measuring products. If the measured data was not trusted, will be lead to a wrong decisions regarding the approval or rejection of products and obviously the cost would be great. First cases in measurement systems analysis which crossing minds are criteria for approval or rejection any mea...

. it can be claimed that no other country in the world possesses such a geopolitical situation. although such a situation provides the country with a set of opportunities, any wrong decision-making, apart from national and international realities, in choosing the focus of policies and foreign relations activities may turn it into a ground for crisis and continued failure for iran. this paper se...

In this paper, we study information cascades on graphs. In this setting, each node in the graph represents a person. One after another, each person has to take a decision based on a private signal as well as the decisions made by earlier neighboring nodes. Such information cascades commonly occur in practice and have been studied in complete graphs where everyone can overhear the decisions of e...

One of two simple hypotheses is correct about the unknown arrival rate and jump distribution of a compound Poisson process. We start observing the process, and the problem is to decide on the correct hypothesis as soon as possible and with the smallest probability of wrong decision. We find a Bayes-optimal sequential decision rule and describe completely how to calculate its parameters without ...

Field emission data are often represented on a Fowler–Nordheim plot but new empirical equation has been recently proposed to better analyze experiments. Such an is based approximations of the Murphy and Good model predicts that constant parameter ?, depending only work function emitter, can be extracted from data. We compared this with simulations in order determine range validity robustness re...

The ability of an emergency department (ED) to meet the needs of its patients depends largely on the resources available. Relevant resources include nurses, physicians, paramedics, specialty backup, care spaces, inpatient bed base, space, equipment, and supplies. All are important to ED function; however, one resource that is seldom considered is cognition, the cognitive capacity of ED staff. A...

Risk analysis of production system, while the actual and appropriate data is not available, will cause wrong system parameters prediction and wrong decision making. In uncertainty condition, there are no appropriate measures for decision making. In epistemic uncertainty, we are confronted by the lack of data. Therefore, in calculating the system risk, we encounter vagueness that we have to use ...